Deep learning models for early and accurate diagnosis of ventilator-associated pneumonia in mechanically ventilated neonates.
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| Title: | Deep learning models for early and accurate diagnosis of ventilator-associated pneumonia in mechanically ventilated neonates. |
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| Authors: | Hsu JF; Division of Pediatric Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan., Lin YC; Department of Applied Mathematics, Feng Chia University, Taichung, Taiwan., Lin CY; Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan., Chu SM; Division of Pediatric Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan., Cheng HJ; Department of Artificial Intelligence Application, Minth University of Science and Technology, HsinChu County, Taiwan., Xu FW; Department of Applied Mathematics, Feng Chia University, Taichung, Taiwan., Huang HR; Division of Pediatric Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan., Liao CC; Division of Pediatric Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan., Fu RH; Division of Pediatric Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan., Tsai MH; Division of Neonatology and Pediatric Hematology/Oncology, Department of Pediatrics, Chang Gung Memorial Hospital, Yunlin, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan. Electronic address: mingmin.tw@yahoo.com.tw. |
| Source: | Computers in biology and medicine [Comput Biol Med] 2025 May; Vol. 189, pp. 109942. Date of Electronic Publication: 2025 Mar 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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